Variational autoencoder-based robust learning control for nonlinear systems with piecewise disturbances
This paper proposes an adaptive reinforcement learning framework based on a Variational Autoencoder (VAE) for robust control of nonlinear systems subject to piecewise disturbances. The framework addresses incomplete state information in partially observable environments by augmenting states with inferred latent disturb...